Improving load forecasting accuracy through combination of best forecasts

@article{Hassan2012ImprovingLF,
  title={Improving load forecasting accuracy through combination of best forecasts},
  author={Saima Hassan and Abbas Khosravi and Jafreezal Jaafar},
  journal={2012 IEEE International Conference on Power System Technology (POWERCON)},
  year={2012},
  pages={1-6}
}
Neural network (NN) models have been widely used in the literature for short-term load forecasting. Their popularity is mainly due to their excellent learning and approximation capability. However, their forecasting performance significantly depends on several factors including initializing parameters, training algorithm, and NN structure. To minimize negative effects of these factors, this paper proposes a practically simple, yet effective and an efficient method to combine forecasts generated… CONTINUE READING